Suppr超能文献

基于混合形状优化的低损耗紧凑型任意阶硅模式转换器

Low-loss and compact arbitrary-order silicon mode converter based on hybrid shape optimization.

作者信息

Liao Junpeng, Huang Dongmei, Lu Yegang, Li Yan, Tian Ye

机构信息

Ningbo University, Ningbo, China.

Hong Kong Polytechnic University, Hong Kong SAR, China.

出版信息

Nanophotonics. 2024 Aug 30;13(22):4137-4148. doi: 10.1515/nanoph-2024-0301. eCollection 2024 Sep.

Abstract

Mode converters (MCs) play an essential role in mode-division multiplexing (MDM) systems. Numerous schemes have been developed on the silicon-on-insulator (SOI) platform, yet most of them focus solely on the conversion of fundamental mode to one or two specific higher-order modes. In this study, we introduce a hybrid shape optimization (HSO) method that combines particle swarm optimization (PSO) with adjoint methods to optimize the shape of the S-bend waveguide, facilitating the design of arbitrary-order MCs featuring compactness and high performance. Our approach was validated by designing a series of 13 μm-long MCs, enabling efficient conversion between various TE modes, ranging from TE to TE. These devices can be fabricated in a single lithography step and exhibit robust fabrication tolerances. Experiment results indicate that these converters achieve low insertion losses under 1 dB and crosstalks below -15 dB across bandwidths of 80 nm (TE-TE), 62 nm (TE-TE), 70 nm (TE-TE), 80 nm (TE-TE), 55 nm (TE-TE), and 75 nm (TE-TE). This advancement paves the way for flexible mode conversion, significantly enhancing the versatility of on-chip MDM technologies.

摘要

模式转换器(MCs)在模式分割复用(MDM)系统中起着至关重要的作用。在绝缘体上硅(SOI)平台上已经开发了许多方案,但其中大多数仅专注于将基模转换为一两种特定的高阶模式。在本研究中,我们引入了一种混合形状优化(HSO)方法,该方法将粒子群优化(PSO)与伴随方法相结合,以优化S形弯曲波导的形状,从而便于设计具有紧凑性和高性能的任意阶MCs。我们的方法通过设计一系列13μm长的MCs得到验证,能够在从TE到TE的各种TE模式之间实现高效转换。这些器件可以在单个光刻步骤中制造,并且具有很强的制造容差。实验结果表明,这些转换器在80nm(TE-TE)、62nm(TE-TE)、70nm(TE-TE)、80nm(TE-TE)、55nm(TE-TE)和75nm(TE-TE)的带宽内实现了低于1dB的低插入损耗和低于-15dB的串扰。这一进展为灵活的模式转换铺平了道路,显著提高了片上MDM技术的通用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42e4/11501054/cc30fe32db93/j_nanoph-2024-0301_fig_001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验